Inferring bearing capacity from sonar backscatter: application from a muddy field site

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Author(s)Park, Sun Woo
Date Accessioned2024-02-28T15:06:14Z
Date Available2024-02-28T15:06:14Z
Publication Date2024
SWORD Update2024-02-26T17:09:21Z
AbstractThis study expands on the application of sediment classification using acoustic backscatter and combine it with drop penetrometer data to test if the bearing capacity of the sediment layer can be related to the backscatter intensity. Total area of 5.14 km2 was surveyed using a vessel mounted multibeam sonar and AUV mounted side scan sonar on the Potomac river near Indian Head, Maryland. 9 sediment grabs were taken during October 2022 field work, and 18 contemporaneous grab samples and drop penetrometer measurements were taken during February 2023. Backscatter mosaic with the geotechnical data was used to train a supervised classification algorithm in ArcGIS Pro. Applying the data interpretation techniques developed so far to cohesive fluvial environment has shown good agreement between backscatter intensity and bearing capacity (precision: 0.75, accuracy: 0.78). This could have practical applications in coastal and riverine construction in muddy environments, allowing for fast and cost effective analysis of bearing capacity of a large site. Unexploded ordnance (UXO) in munition test sites could also be managed using sonar surveys since ordnance mobility and burial could have improved prediction with bed bearing capacity data (Trembanis and DuVal, 2021). This coordinated geoacoustic and geotechnical survey approach would reduce the risk of UXO site management since minimal contact with the bottom is necessary.
AdvisorTrembanis, Arthur C.
DegreeM.S.
DepartmentUniversity of Delaware, School of Marine Science and Policy
Unique Identifier1430990696
URLhttps://udspace.udel.edu/handle/19716/34040
Languageen
PublisherUniversity of Delaware
URIhttps://www.proquest.com/pqdtlocal1006271/dissertations-theses/inferring-bearing-capacity-sonar-backscatter/docview/2937475823/sem-2?accountid=10457
KeywordsBackscatter
KeywordsBearing capacity
KeywordsSediment classification
KeywordsSonar
KeywordsMuddy field site
TitleInferring bearing capacity from sonar backscatter: application from a muddy field site
TypeThesis
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Master's Theses (Fall 2009 to Present)